• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.13 no.4
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• pp.247-256
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• 2009

In this paper, a motion detection algorithm which works well in low illumination environment is proposed. By using the level set based bimodal motion segmentation, the algorithm obtains an automatic segmentation of the motion region and the spurious regions due to the large CCD noise in low illumination environment are removed effectively.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2003.11a
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• pp.3-8
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• 2003

Platforms of many railroad stations are crowded with passengers regardless of the time throughout day. But the intensity of illumination of the existing lightening systems are so low enough to make passengers feel inconvenience in using platforms. Consequently there exists high possibility of accidents in platforms of low illumination. Hence, for the safety and convenience of passengers, it is necessary to improve the luminous intensity of lightening system for platforms. This paper points out the problems of existing system and presents the method to improve it.

• Journal of the Korean Society for Precision Engineering
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• v.24 no.4 s.193
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• pp.29-35
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• 2007

• Journal of Korean Ophthalmic Optics Society
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• v.19 no.1
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• pp.105-109
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• 2014

Purpose: To compare the change of visual acuity and NIBUT after watching smart-phone in 1 hour under low intensity of illumination. Methods: 50 subjects (male 22, female 28) aged 20's years old ($20.7{\pm}2.4$ years) who do not have eye disease and have a good eye condition were participated for this study. Objective refraction, corrected distance visual acuity and NIBUT were measured before and after watching smart-phone (Galaxy 2, Samsung, KOREA) under low intensity of illumination (0 lx.) Objective refraction was carried out using auto-chart project (CP-1000, Dongyang, Korea), phoropter (VT-20, Dongyang, Korea) and auto refractor-keratometer (MRK-3100, Huvitz, Korea). Results: Refractive error was changed from $-3.20{\pm}2.00$ D to $-3.38{\pm}2.00$ D (p=0.006) and corrected distance visual acuity was changed from $0.93{\pm}0.08$ to $0.91{\pm}0.10$ (p=0.000) and NIBUT was changed from $10.48{\pm}7.00$ seconds to $10.29{\pm}6.47$ seconds (p=0.761) before and after watching smart-phone under low intensity of illumination. Conclusions: Continuous watching smart-phone under low intensity of illumination lead to temporal change of distance visual acuity and suitable rest may reduce the influence of distance visual acuity and tear safety.

• Proceedings of the Korean Vacuum Society Conference
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• 2016.02a
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• pp.302.1-302.1
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• 2016

Solution-processed amorphous metal-oxide thin-film transistors (TFTs) are considered as promising candidates for the upcoming transparent and flexible electronics due to their transparent property, good performance uniformity and possibility to fabricate at a low-temperature. In addition, solution processing metal oxide TFTs may allow non-vacuum fabrication of flexible electronic which can be more utilizable for easy and low-cost fabrication. Recently, for high-mobility oxide TFTs, multi-layered oxide channel devices have been introduced such as superlattice channel structure and heterojunction structure. However, only a few studies have been mentioned on the bias illumination stress in the multi- layered oxide TFTs. Therefore, in this research, we investigated the effects of bias illumination stress in solution-processed bilayer oxide TFTs which are fabricated by the deep ultraviolet photochemical activation process. For studying the electrical and stability characteristics, we implemented positive bias stress (PBS) and negative bias illumination stress (NBIS). Also, we studied the electrical properties such as field-effect mobility, threshold voltage ($V_T$) and subthreshold slop (SS) to understand effects of the bilayer channel structure.

• The Journal of Korea Robotics Society
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• v.18 no.1
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• pp.66-71
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• 2023

As cameras have become primary sensors for mobile robots, vision based Simultaneous Localization and Mapping (SLAM) has achieved impressive results with the recent development of computer vision and deep learning. However, vision information has a disadvantage in that a lot of information disappears in a low-light environment. To overcome the problem, we propose an image enhancement method to perform visual SLAM in a low-light environment. Using the deep generative adversarial models and modified gamma correction, the quality of low-light images were improved. The proposed method is less sharp than the existing method, but it can be applied to ORB-SLAM in real time by dramatically reducing the amount of computation. The experimental results were able to prove the validity of the proposed method by applying to public Dataset TUM and VIVID++.

• Journal of Sensor Science and Technology
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• v.30 no.2
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• pp.99-104
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• 2021

In this study, we utilized the duty factor of the transition frequency modulation (TFM) for the illumination control of the light emitting diode (LED) light in visible light communication (VLC). The average optical power is linearly proportional to the duty factor in TFM waveforms. We used the transition frequencies of Na=5 and Nb=1 for the high and the low bits, respectively, of the non-return-to-zero (NRZ) data in the VLC transmitter. A resistor and capacitor high-pass filter (HPF) was used in the VLC receiver to eliminate the 120 Hz optical noise from adjacent lighting lamps and the spikes at the HPF output were used to recover NRZ data from the TFM waveform. In experiments, the illumination of the LED light was controlled in the range of 25-90% of the constant-wave optical power by changing the duty factor of the TFM waveforms.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.11
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• pp.4170-4188
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• 2014

In this study, we present a denoising algorithm for high-frame-rate videos in an ultra-low illumination environment on the basis of Kalman filtering model and a new motion segmentation scheme. The Kalman filter removes temporal noise from signals by propagating error covariance statistics. Regarded as the process noise for imaging, motion is important in Kalman filtering. We propose a new motion estimation scheme that is suitable for serious noise. This scheme employs the small motion vector characteristic of high-frame-rate videos. Small changing patches are intentionally neglected because distinguishing details from large-scale noise is difficult and unimportant. Finally, a spatial bilateral filter is used to improve denoising capability in the motion area. Experiments are performed on videos with both synthetic and real noises. Results show that the proposed algorithm outperforms other state-of-the-art methods in both peak signal-to-noise ratio objective evaluation and visual quality.

• Journal of Broadcast Engineering
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• v.24 no.4
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• pp.623-632
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• 2019

Many researches have been carried out for brightness and contrast enhancement, illumination reduction and so forth. Recently, the aforementioned hand-crafted approaches have been replaced by artificial neural networks. This paper proposes a convolutional neural network that can replace the method of generating a reflectance image where illumination component is attenuated. Experiments are carried out on 102 low-light images and we validate the feasibility of the replacement by producing satisfactory reflectance images.

• Journal of Photoscience
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• v.9 no.2
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• pp.397-399
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• 2002

The seedling height, leaf width and leaf length of pepper increased in plants grown from seeds irradiated with the low dose of 4 Gy. The $O_2$ evolution in the 4 Gy irradiation group was 1.5 times greater than the control. Pmax was decreased with increasing illumination time by 20% in the control, while hardly decreased in the 4 Gy irradiation group. Fv/Fm was decreased with increasing illumination time by 50% after 4 hours, while Fv/Fm in the 4 Gy irradiation group was decreased by 37% of inhibition, indicating that the low dose $\gamma$ radiation increased resistance of plants to photoinhibition.